{"id":"W4317866649","doi":"10.1371/journal.pbio.3001949","title":"Community consensus on core open science practices to monitor in biomedicine","year":2023,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Diabetes Canada; Toronto General Hospital; University of Toronto; Ottawa Hospital; University Health Network; University of Calgary; Princess Margaret Cancer Centre; McGill University; University of Ottawa; Douglas College; Simon Fraser University; Ted Rogers Centre for Heart Research; University of British Columbia; Vector Institute","funders":"Wellcome Trust","keywords":"Open science; Delphi method; Operationalization; Psychological intervention; Citizen science; Science policy; Best practice; Set (abstract data type); Public relations; Engineering ethics; Biology; Political science; Computer science; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008190386,0.0000704821,0.000168077,0.0006170421,0.000689931,0.00007382064,0.002605866,0.0001037733,0.00006451845],"category_scores_gemma":[0.02073207,0.00006028455,0.0000109341,0.003097515,0.001980154,0.00008017672,0.001183574,0.0004354047,0.0004194472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911124,"about_ca_system_score_gemma":0.0003647069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03038763,"about_ca_topic_score_gemma":0.007080185,"domain_scores_codex":[0.9977936,0.0008987439,0.0001746808,0.0002627193,0.0003453063,0.0005249854],"domain_scores_gemma":[0.9968212,0.002309846,0.0001086005,0.0004131415,0.0001775149,0.0001697163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006359417,0.001490052,0.1881912,0.0000575812,0.00004469621,0.0002301907,0.04193416,0.000006475505,0.5499347,0.06499209,0.08188413,0.07059876],"study_design_scores_gemma":[0.002543304,0.006928147,0.2853911,0.0007466098,0.00002544881,0.00001225925,0.1679182,0.00091158,0.05470542,0.08658364,0.3928642,0.001370081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201174,0.000006821527,9.720789e-7,0.04768662,0.0002054869,0.0007984798,0.0000136806,0.0001420075,0.03102851],"genre_scores_gemma":[0.9980501,0.00003523767,0.0006027154,0.0005654328,0.00008321697,0.0001146994,0.000005201078,0.000006322269,0.0005371093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4952292,"threshold_uncertainty_score":0.9875167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6080734201614998,"score_gpt":0.6160498316297403,"score_spread":0.007976411468240463,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}